In view of the progressive retreat of groundwater due to rarity, continuous depletion and overexploitation of water, especially in mountainous areas, which are a major source of water, there is a need for artificial recharge for better management of these resources to ensure their long-term sustainability. The approach used is a contribution of new geomatic technologies; Remote Sensing coupled with Geographic Information Systems, for the mapping of potential areas of artificial recharge in the fractured medium of the Talmakent region, which is located in the western high atlas and is characterized by the presence of impermeable rocks. This study requires the consideration of different factors influencing the recharge potential, which are the characteristics of the land surface such as geology lineaments, geomorphology and drainage system. All these criteria are grouped in a GIS prototype in which a multi-criteria overlay analysis has been done for the cartographic restitution of the potential areas for artificial groundwater recharge. The existing basins in the area revealed that only 6% of the total area was identified as having a high potential for groundwater recharge, hence suitable for the implementation of new artificial recharge structures. While 94% of the area has a low to moderate recharge potential, hence unsuitable for groundwater recharge processes.

The application of specialized natural hazard mapping is an absolute necessity for the management and prevention of natural hazard events. This paper treats the description of all the procedures carried out in order to produce a map of vulnerability and susceptibility to cave-ins, calculated and evaluated by the multicriteria method (AHP) and by using the GIS tool in the old Medina of Beni Mellal, which is recognized from time to time by cave-ins. The objective of this study is to develop a new method for analyzing the vulnerability of cavities to collapse, which presents a real risk in the urban area of the old cities. The methodology, applied to the old city of Beni-Mellal, consists in identifying and quantifying the stakes linked to the collapse of a cavity using a geographic information system. The weight of each parameter and factor exposed in the vulnerability was estimated using the hierarchical multicriteria method (AHP). The result is presented in the form of a spatialized and synthetic vulnerability map. The detection, mapping and assessment of areas vulnerable to the collapse of these cavities, particularly for large areas of the city, offers the possibility of reducing damage by intervening upstream and introducing preventive and corrective measures against any risk of collapse in the areas deemed vulnerable by our study. The maps show three zones with different degrees of vulnerability. The low and medium vulnerability zones occupy respectively 30 and 20% of the total area of the old city, while the high and very high vulnerability zones occupy respectively 16% and 4%.